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Under extreme terrain conditions, there is no site to arrange the control rope retraction system. In this paper, a flexible guide rail hoisting system is designed to replace the traditional transmission tower wind rope hoisting method. Taking the JC27151CG tower assembly as the object, the design of the flexible guide rail hoisting system is carried out, and the ADAMS software is used to establish the dynamic model of the flexible guide rail hoisting system. The mechanical analysis of the flexible guide rail hoisting system is carried out from the perspectives of statics and dynamics.

This paper introduces the guide rail error and analyses the influence of the guide rail error on the machine tool. Several common measuring and error compensation methods are introduced. To reduce the error of machine tool guide, researchers need to have a full understanding of it, and then take appropriate measures to reduce this error, so as to achieve the purpose of improving the machining accuracy. In this paper, through theoretical analysis, the variation trend of guide rail contour error is obtained, which is verified by laser interferometer, and the appropriate position is selected for error compensation. After the test verification, the test proves that the compensation method can effectively compensate the model rail error.

To enhance the operating stability of mine hoisting system and provide guidance for the mining shaft deformation (MSD) monitoring, the operating characteristics of the hoisting conveyance (OCHC) under MSD are studied. Firstly, a simplified finite element model is established for analyzing the guide rail (GR) deformation law under MSD, and the deformation result calculated by ANSYS is transformed into the geometric model in the dynamics model. Secondly, the transversal-longitudinal coupling relationship of the guide roller (GRO) is analyzed, and it is deduced that the variation law of the contact relationship between the guide roller and rail (GROR) with its deformation and the HC position. On the basis of the above, the dynamics model of the mine hoisting system established by ADAMS is verified by experiment and used to analyze the operating characteristics (OC) under MSD. The analysis results show that the deformation result transformation of GR can characterize the SD trend and the connection status between bunton, shaft and GR under MSD and can realize the co-simulation of ANSYS and ADAMS, which makes the dynamic model can accurately reflect the OCHC under MSD. The displacement and vibration acceleration of HC in MSD direction, angular displacement (AD) around its vertical axis and buffer relative displacement (BRD) are highly sensitive to the deformation and contain prominent feature, which can realize the characterization of the deformation. The vibration acceleration of hoisting conveyance (VAHC) and the BRD in the deformation direction produce a prominent impact response to the disconnection of bunton and guide rail (BGR). The disconnection between bunton and shaft only changes the frequency and amplitude of the low-frequency oscillation of BRD near disconnection position. It can provide a basis for identifying MSD and mitigating its effect on HC.

In order to explore the impact of different structural design parameters and environmental factors on the performance of the hydrostatic guide rail, the flow field inside its oil chamber is simulated, which provides direction and guidance for the design and optimization of the guide rail system. Based on the theory of fluid lubrication and the Reynolds equation, numerical simulations are performed through a mathematical model. The results suggest that the bearing capacity of the oil film increases with the oil supply pressure. The film thickness and the film stiffness share a positive correlation. Different oil film thickness and different input pressure parameters can have a significant impact on bearing capacity and oil film stiffness. The correlations identified in the present analysis can be used as a basis to optimize the guide rail design.

For 2D piston pump the churning torque of its cam guide rails at high speed is one of the main sources of mechanical efficiency loss. To conveniently calculate the churning torque and also provide guidance for future optimization of churning torque reduction, an accurate analytical model of constant acceleration and constant deceleration cam guide rail assembly of the stacked-rollers 2D piston pump is established, where the whole churning torque is divided into the peripheral churning torque, the pushing flow churning torque, and the end face churning torque. Then the analytical model is verified by CFD simulation preliminarily. Analytical modeling shows that at 16,000 rpm, the churning torque reaches about 0.826 N m, where the peripheral churning torque, the pushing flow churning torque, and the end face churning torque account for about 55.4%, 37.3%, and 7.3% of the total torque respectively, indicating that the structural parameters related to the pushing flow torque should be optimized with first priority at high rotational speed. Finally, the churning torque at 1000–16,000 rpm was experimentally measured and the influence of oil temperature was considered. The experimental results are in good agreement with the results of analytical modeling and CFD simulation, thus verifying the correctness of the proposed analytical model.

This paper presents the results of forced wear simulation of the friction lift guide rails. The forced wear in the case discussed is an effect of plastic strain of the guide rail surface due to emergency braking of the lift. For the purpose of qualitative and quantitative assessment of wear, the authors applied the numerical simulation of a stray magnetic field. Application of this method allowed evaluating the degree of wear based on the stray field changes. Application of this simulation method allowed obtaining satisfactory results of qualitative and quantitative assessment of the guide rail wear. The intention of this paper was to prove that the permanent magnetic field and the stray field can be applied for the efficient detection of the steel guide rail damages and to verify the possibility of making the quantitative assessment related to the guide rail wear degree versus the personal lift service life.

In the process of heavy-duty cutting, the reciprocating motion of the sliding guide pair surface is prone to local wear, which seriously affects the overall machining accuracy and service life of the machine tool. This study proposes a biomimetic micro-texture design scheme combining elliptical grooves and shell-shaped grooves on the surface of carp as biomimetic prototypes to enhance the oil film bearing capacity, drag reduction, and wear resistance of guide rail pairs. Based on Fluent fluid simulation research, it has been shown that this texture has a better dynamic pressure lubrication effect. We used response surface methodology to optimize the texture design parameters and further verify the accuracy of the optimal parameters with the NSGA-II genetic algorithm. The results show that under lubricated conditions, the load-bearing pressure of the combined micro-textured guide rail pair increased by 53.79%, the friction coefficient decreased by 39.04%, and the temperature decreased by 15.83%. This texture can still significantly improve drag reduction and wear resistance in a low-oil state.

This paper presents a new type of crawler guide rail dual drive micro feed servo system based on \"crawler type\" guide rail. Through the innovative design of the crawler guide rail and the change of the working mode, the table, and the crawler type movable rail are relatively static, and the influence of nonlinear friction in low-speed micro feed is eliminated, so that the system can have a lower stable speed limit and realize accurate micro feed control. The Euler-Bernoulli beam element with axial and torsional degrees of freedom is used to describe the axial and torsional vibrations of the ball screw, and the lumped parameter method is used to analyze other parts of the feed system, and the electromechanical coupling dynamic model considering the nonlinear friction is established. The transfer function block diagram is used to characterize the motion relationship of the crawler guide rail dual drive servo feed system. The response difference between the screw single drive system and the new crawler guide rail dual drive system is analyzed by simulation when feeding at constant or variable speed, and the influence of different feed speed on the dynamic performance of the system. The results show that the low speed micro feed performance of the new crawler guide rail dual drive servo system is obviously better than that of the screw single drive system under the condition of constant speed or variable speed.

The detection status and existing problems of the anti-soft and heavy object impact performance of glass and metal guardrails for buildings were briefly described in the article. A set of detection equipment was designed for the shortcomings, which mainly included guardrail installation devices, height positioning devices, and impact control systems. It has the advantages of small size, low cost, simple operation, high efficiency and low uncertainty, etc. In addition, the influence of factors such as installation quality and test environment on the test results can be excluded, which greatly improves the accuracy and fairness of the test results.

The relative positions between the four slide blocks vary with the movement of the table due to the geometric errors of the guide rail. Consequently, the additional load on the slide blocks is increased. A new method of error measurement and identification by using a self-designed stress test plate was presented. BP neural network model was used to establish the mapping between the stress of key measurement points on the test plate and the displacements of slide blocks. By measuring the stress, the relative displacements of slide blocks were obtained, from which the geometric errors of the guide rails were converted. Firstly, the finite element model was built to find the key measurement points of the test plate. Then the BP neural network was trained by using the samples extracted from the finite element model. The stress at the key measurement points were taken as the input and the relative displacements of the slide blocks were taken as the output. Finally, the geometric errors of the two guide rails were obtained according to the measured stress. The results show that the maximum difference between the measured geometric errors and the output of BP neural network was 5 μm. Therefore, the correctness and feasibility of the method were verified.